Comments (2)
@jannesgg any thoughts on this?
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@victor-wildlife I believe that this is related to uploading artifacts to MLFlow, which unfortunately can take a long time depending on the number of files that need to be uploaded. One way to avoid this would be to stop uploading the entire dataset and instead upload the names of the files which are used in the training and validation sets.
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